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Type: Full-time
About Zoniqx
Zoniqx is building the infrastructure for the next era of finance. Since 2017, we’ve been pioneers in real-world asset (RWA) tokenization, bridging traditional finance with blockchain liquidity through our Tokenization Platform-as-a-Service (TPaaS) and compliance-native protocols (ERC-7518 DyCIST). From billion-dollar private equity funds to AI + green data centers, Zoniqx helps institutions scale tokenized asset issuance with confidence and global reach.
Role Overview
We’re looking for an AI Engineer to design, implement, and optimize Agentic AI systems that power our tokenization and institutional finance stack. You’ll work with product, data, and infrastructure teams to build scalable AI solutions using AWS, machine learning, and Retrieval-Augmented Generation (RAG) models.
What You’ll Do
- Build and deploy Agentic AI and RAG-based systems on AWS infrastructure.
- Develop APIs, data pipelines, and automation tools using Python or Node.js.
- Train, evaluate, and fine-tune machine learning models for reasoning, automation, and intelligence layers in financial workflows.
- Integrate AI features into Zoniqx’s TPaaS and blockchain-based asset systems.
- Collaborate with cross-functional teams to design intelligent, production-ready AI services.
- Continuously explore new LLM frameworks and Agentic AI tools to drive innovation.
- 3+ years of hands-on experience with Agentic AI or RAG architectures.
- Strong skills in Python or Node.js.
- Solid understanding of machine learning algorithms, vector databases, and data pipelines.
- Experience working with AWS Cloud for model deployment and scaling.
- Familiarity with tools like LangChain, LlamaIndex, or similar frameworks is a plus.
- Self-motivated, detail-oriented, and excited about building at the intersection of AI, blockchain, and finance.
- Pioneering work: Join a team that’s been leading RWA tokenization since 2017, powering $5B+ in tokenized pipelines.
- Real impact: Build AI systems that touch global financial infrastructure.
- Growth path: Opportunities to move into AI Product Lead, ML Architect, or Head of AI Engineering roles.
- Global exposure: Work with teams across the US, UAE, and India, and contribute to cross-continental projects.
- Learning culture: Access to research collaborations, AI labs, and the latest tools in blockchain + AI.
- Travel opportunities: Represent Zoniqx at top RWA, AI, and Web3 events worldwide.
- Compensation: Competitive salary, performance-based bonuses, and stock options.
- Perks: Flexible working hours, high-performance equipment, wellness benefits, and a culture that values experimentation and ownership.
Key Skills
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